Table 2.
Predictor | R2 | P |
---|---|---|
All water depths | ||
Tourists | 0.058 | 0.021 |
Granulometry | 0.263 | 0.002 |
Depth | 0.090 | 0.003 |
Beach | 0.381 | 0.004 |
Residual | 0.202 | |
Swash | ||
Tourists | 0.184 | 0.204 |
Granulometry | NA | NA |
Residual | 0.816 | |
Shallow | ||
Tourists | 0.171 | 0.241 |
Granulometry | 0.678 | 0.200 |
Residual | 0.151 | |
Deep | ||
Tourists | 0.111 | 0.204 |
Granulometry | 0.404 | 0.366 |
Residual | 0.486 |
Results are reported from permutational multivariate analyses of variance (PERMANOVA) on the effect of different sets of explanatory variables on community composition calculated as pairwise Jaccard dissimilarities of the ZOTU occurrence. Analyses are performed for all the dataset, as well as the swash, shallow, and deep level. Differences in granulometry were not analysed at the swash level because only one granulometry type was present for the level. R2 and p values are reported. P values for significant predictors are marked in bold.